This study examines temporal patterns of software systems defects using the Autoregressive Integrated Moving Average (ARIMA) approach. Defect reports from ten software application projects are analyzed;five of these p...This study examines temporal patterns of software systems defects using the Autoregressive Integrated Moving Average (ARIMA) approach. Defect reports from ten software application projects are analyzed;five of these projects are open source and five are closed source from two software vendors. Across all sampled projects, the ARIMA time series modeling technique provides accurate estimates of reported defects during software maintenance, with organizationally dependent parameterization. In contrast to causal models that require extraction of source-code level metrics, this approach is based on readily available defect report data and is less computation intensive. This approach can be used to improve software maintenance and evolution resource allocation decisions and to identify outlier projects—that is, to provide evidence of unexpected defect reporting patterns that may indicate troubled projects.展开更多
背景先天性心脏病患儿行开胸手术后疼痛的规范化管理十分重要,目前尚未形成系统的针对先天性心脏病患儿行开胸手术后疼痛管理的最佳证据。目的对先天性心脏病患儿行开胸手术后疼痛管理的最佳证据进行总结,为临床实践提供循证依据。方法...背景先天性心脏病患儿行开胸手术后疼痛的规范化管理十分重要,目前尚未形成系统的针对先天性心脏病患儿行开胸手术后疼痛管理的最佳证据。目的对先天性心脏病患儿行开胸手术后疼痛管理的最佳证据进行总结,为临床实践提供循证依据。方法系统检索UpToDate临床顾问、BMJ最佳临床实践、国际指南协作网、美国国立指南库、英国国家卫生与临床优化研究所、医脉通指南网、Cochrane Library、PubMed、Web of Science、Embase、CINAHL、万方数据知识服务平台、维普网、中国知网、中国生物医学文献服务系统及美国心脏病协会、美国心血管学会、欧洲心脏病协会、美国疼痛协会、加拿大安大略注册护士协会网站,获取关于先天性心脏病患儿行开胸手术后疼痛管理的临床决策、指南、专家共识、证据总结、系统评价及随机对照试验,检索时限为建库至2025-01-01,进行方法学质量评价后,依据主题对证据提取和汇总。结果共纳入15篇文献,其中指南1篇,专家共识1篇,系统评价3篇,随机对照试验10篇,通过阅读、提取、归纳最终总结了疼痛管理原则、疼痛评估、药物止痛策略、非药物止痛策略4个方面的26条证据。结论形成先天性心脏病患儿行开胸手术后疼痛管理中关于疼痛管理原则、疼痛评估、药物止痛策略、非药物止痛策略的最佳证据,可为临床医务工作者提供证据支持,提高临床护理质量。展开更多
This paper proposes an evolutionary optimized recurrent neural network for inspection of open/short defects on thin film transistor (TFT) lines of flat panel displays (FPD). The inspection is performed on digitized wa...This paper proposes an evolutionary optimized recurrent neural network for inspection of open/short defects on thin film transistor (TFT) lines of flat panel displays (FPD). The inspection is performed on digitized waveform data of voltage signals that are captured by a capacitor based non-contact sensor through scanning over TFT lines on the surface of mother glass of FPD. Irregular patterns on the waveform, sudden deep falls (open circuits) or sharp rises (short circuits), are classified and detected by employing the optimized recurrent neural network. The topology parameters of the recurrent neural network are optimized by a multiobjective evolutionary optimization process using a selected training data set. This method is an extension to our previous work, which utilized a feed-forward neural network, to address the drawbacks in it. Experimental results show that this method can detect defects on more realistic and noisy data than both of the previous method and the conventional threshold based method.展开更多
文摘This study examines temporal patterns of software systems defects using the Autoregressive Integrated Moving Average (ARIMA) approach. Defect reports from ten software application projects are analyzed;five of these projects are open source and five are closed source from two software vendors. Across all sampled projects, the ARIMA time series modeling technique provides accurate estimates of reported defects during software maintenance, with organizationally dependent parameterization. In contrast to causal models that require extraction of source-code level metrics, this approach is based on readily available defect report data and is less computation intensive. This approach can be used to improve software maintenance and evolution resource allocation decisions and to identify outlier projects—that is, to provide evidence of unexpected defect reporting patterns that may indicate troubled projects.
文摘背景先天性心脏病患儿行开胸手术后疼痛的规范化管理十分重要,目前尚未形成系统的针对先天性心脏病患儿行开胸手术后疼痛管理的最佳证据。目的对先天性心脏病患儿行开胸手术后疼痛管理的最佳证据进行总结,为临床实践提供循证依据。方法系统检索UpToDate临床顾问、BMJ最佳临床实践、国际指南协作网、美国国立指南库、英国国家卫生与临床优化研究所、医脉通指南网、Cochrane Library、PubMed、Web of Science、Embase、CINAHL、万方数据知识服务平台、维普网、中国知网、中国生物医学文献服务系统及美国心脏病协会、美国心血管学会、欧洲心脏病协会、美国疼痛协会、加拿大安大略注册护士协会网站,获取关于先天性心脏病患儿行开胸手术后疼痛管理的临床决策、指南、专家共识、证据总结、系统评价及随机对照试验,检索时限为建库至2025-01-01,进行方法学质量评价后,依据主题对证据提取和汇总。结果共纳入15篇文献,其中指南1篇,专家共识1篇,系统评价3篇,随机对照试验10篇,通过阅读、提取、归纳最终总结了疼痛管理原则、疼痛评估、药物止痛策略、非药物止痛策略4个方面的26条证据。结论形成先天性心脏病患儿行开胸手术后疼痛管理中关于疼痛管理原则、疼痛评估、药物止痛策略、非药物止痛策略的最佳证据,可为临床医务工作者提供证据支持,提高临床护理质量。
文摘This paper proposes an evolutionary optimized recurrent neural network for inspection of open/short defects on thin film transistor (TFT) lines of flat panel displays (FPD). The inspection is performed on digitized waveform data of voltage signals that are captured by a capacitor based non-contact sensor through scanning over TFT lines on the surface of mother glass of FPD. Irregular patterns on the waveform, sudden deep falls (open circuits) or sharp rises (short circuits), are classified and detected by employing the optimized recurrent neural network. The topology parameters of the recurrent neural network are optimized by a multiobjective evolutionary optimization process using a selected training data set. This method is an extension to our previous work, which utilized a feed-forward neural network, to address the drawbacks in it. Experimental results show that this method can detect defects on more realistic and noisy data than both of the previous method and the conventional threshold based method.
